lakshyaag / Stanford-CS229
My notes for Stanford's CS229 course
β27Updated last year
Alternatives and similar repositories for Stanford-CS229:
Users that are interested in Stanford-CS229 are comparing it to the libraries listed below
- All notes and materials for the CS229: Machine Learning course by Stanford Universityβ212Updated 3 years ago
- β11Updated 3 years ago
- learningggggggg π³β296Updated this week
- ML algorithms in depthβ235Updated 6 months ago
- Notes for the course Generative AI With Large Language Models, offered by DeepLearning.AI on Courseraβ57Updated last year
- Basically a repo containing architectures/algorithms/papers from scratch in pytorchβ13Updated last week
- Notes on "Programming Massively Parallel Processors" by Hwu, Kirk, and Hajj (4th ed.)β52Updated 7 months ago
- Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2β¦β245Updated last year
- A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible anβ¦β24Updated 3 months ago
- nice and effective super simple calorie counter web appβ94Updated 10 months ago
- π€ Building a transformer from scratch β because if suffering builds character, it might as well build a seq2seq translation model too!β21Updated 3 weeks ago
- just me trying to implement deep learning concepts in codeβ148Updated last week
- Descriptions and python solutions to all leetcode problems in a single 1985-page pdfβ40Updated 4 years ago
- Learnings and programs related to CUDAβ373Updated last month
- Deep Learning for Computer Visionβ54Updated 9 months ago
- Source code for the book "Math for Deep Learning" (No Starch Press)β152Updated last week
- a tiny multidimensional array implementation in C similar to numpy, but only one file.β226Updated 8 months ago
- Question paper of courses taught at IISC as part of MTech AI curriculumβ58Updated 4 months ago
- Accelerated General (FP32) Matrix Multiplication from scratch in CUDAβ111Updated 2 months ago
- Summary notes and examples for every chapter in the popular textbook "The Elements of Statistical Learning" .β31Updated 3 years ago
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)β1,124Updated 2 years ago
- β365Updated last week
- All notes, slides and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanfordβ19Updated 4 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et alβ53Updated 2 years ago
- π Curated collection of engineering blogs detailing real-world applications of LLMs in solving specific business problems.β53Updated 5 months ago
- small auto-grad engine inspired from Karpathy's micrograd and PyTorchβ251Updated 4 months ago
- Contains Lecture Notes and Suggested Readings for XCS224Nβ45Updated last year
- This repo has all the basic things you'll need in-order to understand complete vision transformer architecture and its various implementaβ¦β214Updated 3 months ago
- Assignments of courses taught at IISC as part of MTech AI curriculumβ92Updated last month
- Python / C++ 11 Solutions of All 468 LeetCode Questionsβ78Updated last year